Grupo Supervielle (SUPV) Price to Book (2017 - 2025)
Grupo Supervielle's (SUPV) Price to Book was 0.00 for the quarter ended Dec 31, 2025, down 3.9% from 0.00 a year earlier.
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Analysis
Grupo Supervielle (SUPV) Price to Book (2017 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2017, Grupo Supervielle's Price to Book record includes 11 quarters.
- By year, Price to Book came in at 0.00 in the year ended Dec 31, 2024 (+160.1%), 0.00 in the year ended Dec 31, 2023 (-27.7%), 0.00 in the year ended Dec 31, 2022 (-62.5%) and 0.00 in the year ended Dec 31, 2021 (-50.7%).
- The figure for the quarter ended Dec 31, 2025 ranks as the lowest quarterly Price to Book since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Grupo Supervielle | 630.36 Mn | 1.39 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.00 |
| Dec 31, 2024 | 0.00 |
| Dec 31, 2023 | 0.00 |
| Sep 30, 2023 | 0.00 |
| Dec 31, 2022 | 0.00 |
| Sep 30, 2022 | 0.00 |
| Dec 31, 2021 | 0.00 |
| Dec 31, 2020 | 0.00 |
| Mar 31, 2020 | 0.00 |
| Dec 31, 2018 | 0.03 |
| Dec 31, 2017 | 0.11 |
API Access
Grupo Supervielle Price to Book API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-book&ticker=SUPV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "SUPV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=SUPV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();